Job title : Junior Data Scientist | Actuarial Analyst - Discovery Life
Job Location : Gauteng,
Deadline : December 30, 2024
Quick Recommended Links
Jobs by Location
Job by industries
Areas of responsibility may include but are not limited to: Mining large structured and unstructured datasets for data exploration to find new insights Perform data investigations to inform operational efficiency and interaction strategies Transform data into meaningful model inputs and data pipelines Develop and refine predictive models such as fraud, underwriting and customer behavioural models Prototyping Natural Language Processing (NLP) and Large Language Model (LLM) business cases Support model implementation and monitoring of model performance Further develop existing models and research new techniques to fully utilise the rich Discovery data universe Participate in the wider Discovery Data Science community
Personal Attributes and Skills Identifying and analysing trends Adapting and Responding to Change Results orientated and commercial thinking Working with People Deciding and initiating action Applying Expertise and Technology Proactivity and accountability Advanced Proficiency in MS Word, MS Excel and MS Outlook Analytical Skills Statistical Skills Creating innovating solutions to complex problems Writing and Reporting
Education and Experience (Junior Data Scientist role) Essential: Matric with Mathematics Honours Degree in either Data Science, Actuarial Science, Statistics, Operations Research, Computer Science or Applied Mathematics Demonstrable knowledge and experience in statistical modelling, data mining, machine learning or optimisation Ability to formulate a clear problem statement, develop a plan for tackling it, and clearly communicate findings verbally, visually, and in writing.
Advantageous: Master's Degree in either Data Science, Actuarial Science, Statistics, Operations Research, Computer Science or Applied Mathematics 1-2 years of working experience as a Data Scientist in the Life Insurance / Financial Services Industry Experience in a big data environment such as Databricks, Kubernetes or similar
Knowledge: Intermediate to advanced SQL knowledge Proficient in at least one of R, Python, Spark interpreters or similar
Education and Experience (Actuarial Analyst role) Essential: Matric with Mathematics Honours Degree or equivalent in Actuarial Science, At least 6 of the Foundation and Intermediate Technical subjects (A111 – A214) of ASSA, or equivalent, which should include A211 (CT1) and A213 (CT5). Ability to formulate a clear problem statement, develop a plan for tackling it, and clearly communicate findings verbally, visually, and in writing.
Advantageous: 1-2 years of working experience as an Actuarial Analyst in the Life Insurance / Financial Services Industry Demonstrable knowledge in statistical modelling, data mining, machine learning or optimisation Good progress towards qualifying as an actuary with a recognised actuarial professional body, e.g. ASSA or IFoA Experience in a big data environment such as Databricks, Kubernetes or similar
Knowledge: Intermediate to advanced SQL knowledge Proficient in at least one of R, Python, Spark interpreters or similar
Research / Data Analysis jobs